References
- Andrés, M. P. (2008). Options for analysis of the volleyball score sheet. International Journal of Performance Analysis in Sport, 8(2), 26–43. doi:10.1080/24748668.2008.11868433
- Barnett, T. J., Brown, A., & Jackson, K. (2008). Modelling outcomes in volleyball. Proceedings of the 9th Australasian Conference on Mathematics and Computers in Sport (9M&CS) (pp. 130–137). Tweed Heads, New South Wales, Australia.
- Boon, B. H., & Sierksma, G. (2003). Team formation: Matching quality supply and quality demand. European Journal of Operational Research, 148(2), 277–292. doi:10.1016/S0377-2217(02)00684-7
- Buraimo, B., Forrest, D., & Simmons, R. (2009). Insights for clubs from modelling match attendance in football. Journal of the Operational Research Society, 60(2), 147–155. doi:10.1057/palgrave.jors.2602549
- Campbell, G. M. (2011). A two-stage stochastic program for scheduling and allocating cross-trained workers. Journal of the Operational Research Society, 62(6), 1038–1047. doi:10.1057/jors.2010.16
- Durković, T., Marelić, N., & Rešetar, T. (2008). Influence of the position of players in rotation on differences between winning and losing teams in volleyball. International Journal of Performance Analysis in Sport, 8(2), 8–15. doi:10.1080/24748668.2008.11868431
- Ferrante, M., & Fonseca, G. (2014). On the winning probabilities and mean durations of volleyball. Journal of Quantitative Analysis in Sports, 10(2), 91–98. doi:10.1515/jqas-2013-0098
- Freeze, R. A. (1974). An analysis of baseball batting order by Monte Carlo simulation. Operations Research, 22(4), 728–735. doi:10.1287/opre.22.4.728
- George, S. L. (1973). Optimal strategy in tennis: A simple probabilistic model. Applied Statistics, 22(1), 97–103. doi:10.2307/2346309
- Grinstead, C. M., & Snell, J. L. (2003). Introduction to Probability, The CHANCE Project Version dated 4 July 2006 of the Second Revised Edition, 1997. Rhode Island, USA: American Mathematical Society.
- Hersh, M., & Ladany, S. P. (1989). Optimal pole-vaulting strategy. Operations Research, 37(1), 172–175. doi:10.1287/opre.37.1.172
- Jensen, S. T., Shirley, K. E., & Wyner, A. J. (2009). Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball. The Annals of Applied Statistics, 3(2), 491–520. doi:10.1214/08-AOAS228
- Kendall, G., Knust, S., Ribeiro, C. C., & Urrutia, S. (2010). Scheduling in sports: An annotated bibliography. Computers & Operations Research, 37(1), 1–19. doi:10.1016/j.cor.2009.05.013
- Laios, A., & Kountouris, P. (2011). Receiving and serving team efficiency in Volleyball in relation to team rotation. International Journal of Performance Analysis in Sport, 11(3), 553–561. doi:10.1080/24748668.2011.11868573
- Laios, A., & Kountouris, P. (2010). Association between the line-up of the players and the efficiency of the serving team in volleyball. International Journal of Performance Analysis in Sport, 10(1), 1–8. doi:10.1080/24748668.2010.11868496
- Lee, K. T., & Chin, S. T. (2004). Strategies to serve or receive the service in volleyball. Mathematical Methods of Operations Research (Zor), 59(1), 53–67. doi:10.1007/s001860300315
- Mancini, S. (2018). Assignment of swimmers to events in a multi-team meeting for team global performance optimization. Annals of Operations Research, 264(1–2), 325–337. doi:10.1007/s10479-017-2735-5
- Miskin, M. A., Fellingham, G. W., & Florence, L. F. (2010). Skill Importance in women’s volleyball. Journal of Quantitative Analysis in Sports, 6(2), 5. doi:10.2202/1559-0410.1234
- Norman, J. M. (1985). Dynamic programming in tennis-when to use a fast serve. The Journal of the Operational Research Society, 36(1), 75–77. doi:10.2307/2582080
- Norman, J. M., & Clarke, S. R. (2007). Dynamic programming in cricket: Optimizing batting order for a sticky wicket. Journal of the Operational Research Society, 58(12), 1678–1682. doi:10.1057/palgrave.jors.2602309
- Palao, J. M., & Ortega, E. (2015). Skill efficacy in men’s beach volleyball. International Journal of Performance Analysis in Sport, 15(1), 125–134. doi:10.1080/24748668.2015.11868781
- Peña, J. L., & Touchette, H. (2012). A network theory analysis of football strategies. In Clanet C (Ed.), Sports Physics: Proc. 2012 Euromech Physics of Sports Conference, (pp. 517–528). Palaiseau, Editions de l’Ecole Polytechnique.
- Sagula, J. (2006). Playing offence. Volleyball skills & drills, american volleyball coaches association. Champaign, Il: Human Kinetics.
- Schleuder, S. (1998). Comprehensive volleyball statistics: A guide for coaches, media and fans. Arkansas City, AK: American Volleyball Coaches Association.
- Silva, M., Daniel Lacerda, D., & João, P., V. (2014). Game-related volleyball skills that influence victory. Journal of Human Kinetics, 41(1), 173–179. doi:10.2478/hukin-2014-0045
- Sphicas, G., & Ladany, S. (1977). Optimal strategies in sport. Dynamic policies in the long jump (pp. 101–112). New York, NY: North-Holland.
- Tavana, M., Azizi, F., Azizi, F., & Behzadian, M. (2013). A fuzzy inference system with application to player selection and team formation in multi-player sports. Sport Management Review, 16(1), 97–110. doi:10.1016/j.smr.2012.06.002
- Trninic, S., Papic, V., Trninic, V., & Vukicevic, D. (2008). Player selection procedures in team sports games. Acta Kinesiologica, 2(1), 24–28.
- Washburn, A. (1991). Still more on pulling the goalie. Interfaces, 21(2), 59–64. doi:10.1287/inte.21.2.59
- Wright, M. B. (2009). 50 years of OR in sport. Journal of the Operational Research Society, 60(sup1), S161–S168. doi:10.1057/jors.2008.170
- Zadražnik, M., Marelić, N., & Rešetar, T. (2009). Differences in rotations between the winning and losing teams at the youth European volleyball championships for girls. Acta Gymnica, 39(4), 33–40.
- Zetou, E., Moustakidis, A., Tsigilis, N., & Komninakidou, A. (2007). Does effectiveness of skill in complex I predict win in men’s Olympic volleyball games? Journal of Quantitative Analysis in Sports, 3(4), 1–11. doi:10.2202/1559-0410.1076